Abstract | ||
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Collection and analysis of personal information is among the most far-reaching developments in online retail practices. While the potential value of harnessing data about people is expected to improve the online service offerings, it raises reasonable concerns about privacy. Rather than cutting off opportunities to make personal data available for enhancing online services, we introduce a model where people can opt out to share personal information for a payoff value that balances out the costs of privacy. Our model is based on intelligent agents working on behalf of consumers to maximize their benefit. The analysis of the model and a proof of concept implementation are presented in this paper. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/WI-IAT.2010.11 | IAT |
Keywords | Field | DocType |
personal data,online service,potential value,harnessing data,online retail practice,payoff value,personal information,concept implementation,online service offering,intelligent agent-based model,future personal information markets,far-reaching development,data privacy,data models,intelligent agent,information services,privacy,multi agent systems,protocols,data analysis,simulation | Information system,Data mining,Data modeling,Internet privacy,Intelligent agent,Computer science,Multi-agent system,Opt-out,Personally identifiable information,Information privacy,Stochastic game | Conference |
Citations | PageRank | References |
2 | 0.38 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
abdulsalam yassine | 1 | 229 | 23.42 |
Ali Asghar Nazari Shirehjini | 2 | 147 | 13.58 |
Shervin Shirmohammadi | 3 | 1066 | 125.81 |
Thomas T. Tran | 4 | 28 | 5.17 |